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共情的内在形态:功能性脑网络拓扑结构编码主体间体验与意识特质。

Intrinsic Shapes of Empathy: Functional Brain Network Topology Encodes Intersubjective Experience and Awareness Traits.

作者信息

Ebisch Sjoerd J H, Scalabrini Andrea, Northoff Georg, Mucci Clara, Sergi Maria Rita, Saggino Aristide, Aquino Antonio, Alparone Francesca R, Perrucci Mauro Gianni, Gallese Vittorio, Di Plinio Simone

机构信息

Department of Neuroscience, Imaging and Clinical Sciences (DNISC), G. d'Annunzio University of Chieti-Pescara, 66100 Chieti, Italy.

Institute of Advanced Biomedical Technologies (ITAB), G. d'Annunzio University of Chieti-Pescara, Via Luigi Polacchi 11, 66100 Chieti, Italy.

出版信息

Brain Sci. 2022 Apr 5;12(4):477. doi: 10.3390/brainsci12040477.

Abstract

Trait empathy is an essential personality feature in the intricacy of typical social inclinations of individuals. Empathy is likely supported by multilevel neuronal network functioning, whereas local topological properties determine network integrity. In the present functional MRI study (N = 116), we aimed to trace empathic traits to the intrinsic brain network architecture. Empathy was conceived as composed of two dimensions within the concept of pre-reflective, intersubjective understanding. Vicarious experience consists of the tendency to resonate with the feelings of other individuals, whereas intuitive understanding refers to a natural awareness of others' emotional states. Analyses of graph theoretical measures of centrality showed a relationship between the fronto-parietal network and psychometric measures of vicarious experience, whereas intuitive understanding was associated with sensorimotor and subcortical networks. Salience network regions could constitute hubs for information processing underlying both dimensions. The network properties related to empathy dimensions mainly concern inter-network information flow. Moreover, interaction effects implied several sex differences in the relationship between functional network organization and trait empathy. These results reveal that distinct intrinsic topological network features explain individual differences in separate dimensions of intersubjective understanding. The findings could help understand the impact of brain damage or stimulation through alterations of empathy-related network integrity.

摘要

特质共情是个体典型社会倾向复杂性中的一种重要人格特征。共情可能由多层次神经网络功能支持,而局部拓扑特性决定网络完整性。在本功能磁共振成像研究(N = 116)中,我们旨在将共情特质追溯到内在脑网络结构。在预反思性主体间理解概念中,共情被认为由两个维度组成。替代性体验包括与他人情感产生共鸣的倾向,而直观理解是指对他人情绪状态的自然觉察。中心性的图论测量分析表明,额顶叶网络与替代性体验的心理测量指标之间存在关联,而直观理解与感觉运动网络和皮层下网络相关。突显网络区域可能构成这两个维度潜在信息处理的枢纽。与共情维度相关的网络特性主要涉及网络间信息流。此外,交互效应暗示了功能网络组织与特质共情之间的关系存在若干性别差异。这些结果表明,不同的内在拓扑网络特征解释了主体间理解不同维度中的个体差异。这些发现有助于通过改变与共情相关的网络完整性来理解脑损伤或刺激的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c17c/9024660/43ff9360b0ee/brainsci-12-00477-g001.jpg

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